Lead AI AppSec Engineer

Company Overview: Capital Group is one of the world's largest and most established investment management firms, founded in Los Angeles in 1931 with over $3 trillion in assets under management. The firm operates globally across equity, fixed income, and multi-asset strategies, serving long-term investors through a distinctive analyst-driven research model. Capital Group is privately held and employee-owned, with a culture that prioritizes intellectual rigor, collaboration, and long-term thinking over short-term performance pressure. Role Overview: As a Lead AI AppSec Engineer, you will work with application teams to ensure the security of custom and procured AI solutions. You will help enable Capital Group’s AI strategy by building and/or procuring solutions to protect a diverse set of enterprise AI platforms being built and deployed at Capital Group. You’ll collaborate with platform engineering, security engineering, and risk teams to ensure their solutions support scalable, secure adoption of AI. Additionally, you’ll be expected to provide mentoring, advising diverse teams across the organization, and promoting AI Security principles across Capital Group. Responsibilities: Secure AI Development Lifecycle: You will procure and/or build technical solutions to embed automated security checks into the AI SDLC and ML-Ops. AI Threat Modeling: You will threat model complex Agentic and AI systems and design security requirements collaboratively with developers, architects and business stakeholders Code analysis: You will review code for security vulnerabilities in the context of AI-driven systems Contribute to Standards and Policies: You will provide thought leadership for Information Security policies and standards for AI in collaboration with technology risk AI/Agent SME: You will provide AI/Agent subject matter expertise for AI Incidents and Security Reviews, and help develop incident response playbooks for AI-related security incidents Qualifications: 8+ years of experience in Application Security, Product Security, or Security Engineering Strong hands-on experience with secure code reviews, threat modeling, and vulnerability remediation Experience implementing and operating application security tooling in CI/CD environments Experience securing modern applications, APIs, or enterprise platforms Ability to work directly with engineers as a technical peer in a hands-on environment Experience working in complex enterprise, SaaS, or technology environments Coding or scripting experience such as Python Experience working closely with platform or product engineering teams Interest in AI, AI-enabled systems, or emerging security challenges Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S. Why This Role: Greenfield AI platform initiative Opportunity to help define how AI-enabled systems are secured across a large enterprise environment Hands-on role solving new security challenges in a rapidly evolving space High visibility role working across security and engineering teams Compensation: Charlotte Base Salary Range : $194,706-$311,530 ‎Southern California Base Salary Range : $226,893-$363,029 New York Base Salary Range : $240,519-$384,830 *Relocation package provided*